Hybrid Programming Task Recommendation Model Based on Knowledge Graph and Collaborative Filtering for Online Judge

The online judge (OJ) is a widely used system for programming education,learning and contests.Users often get lost in searching for tasks of interest in the massive database.How to recommend suitable programming tasks to the users and plan the learning path is a significant research topicin the deve...

詳細記述

書誌詳細

第一著者:	LIU Zejing, WU Nan, HUANG Fuqun, SONG You
フォーマット:	Artigo
言語:	Chinês
出版事項:	Editorial office of Computer Science 2023-02-01
シリーズ:	Jisuanji kexue
主題:	programming education|online judge systems|personalized recommendations|knowledge graph|collaborative filtering|feature fusion
オンライン･アクセス:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-2-106.pdf
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